Essays about: "Neuronnätverk."

Showing result 1 - 5 of 29 essays containing the word Neuronnätverk..

  1. 1. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Henning; [2022]
    Keywords : Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

    Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE

  2. 2. AI Trained to Predict Thresholds of 2D Ellipse Percolation Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nirav Surajlal; [2021]
    Keywords : Low-dimensional Nanomaterials; Percolation Threshold; Machine Learning; Regression; Two-dimensional Heterogeneous Ellipse System; Lågdimensionella nanomaterial; Perkolering Tröskel; Maskininlärning; Regression; Tvådimensionellt Heterogent Ellipssystem;

    Abstract : Percolation theory is a relevant area of research in Nanotechnology because of its wide applications in nanoelectronics based on thin films of nanoparticles and composites, amongst others. In nanotechnology, systems are often explored through modelling and simulations. READ MORE

  3. 3. Noisy recognition of perceptual mid-level features in music

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Simon Mossmyr; [2021]
    Keywords : ;

    Abstract : Self-training with noisy student is a consistency-based semi-supervised self- training method that achieved state-of-the-art accuracy on ImageNet image classification upon its release. It makes use of data noise and model noise when fitting a model to both labelled data and a large amount of artificially labelled data. READ MORE

  4. 4. Modelling Immediate Serial Recall using a Bayesian Attractor Neural Network

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Julia Ericson; [2021]
    Keywords : Bayesian Confidence Propagating Neural Network; Phonological Loop; Computational model; Immediate serial recall; Bayesian Confidence Propagating Neural Network; Fonologiska loopen; Datorsimulation; Sekventiellt korttidsminne;

    Abstract : In the last decades, computational models have become useful tools for studying biological neural networks. These models are typically constrained by either behavioural data from neuropsychological studies or by biological data from neuroscience. READ MORE

  5. 5. Multiparty adversarial neural cryptography with symmetric and asymmetric encryption

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tianpeng Ju; [2021]
    Keywords : Cryptography; neural network; asymmetric encryption; multiparty systems; Kryptografi; neuronnätverk; asymmetrisk kryptering; flerpartssystem;

    Abstract : Deep learning has shown excellent performance in image recognition, speech recognition, natural language processing and other fields over the recent decades. Cryptography is a technical science that studies the preparation and decoding of ciphers. READ MORE